{"id":"W3125200948","doi":"","title":"Patents and the Performance of Voluntary Standard Setting Organizations","year":2006,"lang":"en","type":"preprint","venue":"Institutional Repositories DataBase (IRDB)","topic":"Digital Platforms and Economics","field":"Business, Management and Accounting","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Standardization; Intellectual property; Sample (material); Business; Industrial organization; Turnover; Voluntary association; Distribution (mathematics); Process (computing); Large sample; Knowledge management; Economics; Computer science; Political science; Management; Market economy; Law","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.005938639,0.0001528472,0.0003369584,0.00493677,0.001019287,0.003768282,0.0006016209,0.001125356,0.00340789],"category_scores_gemma":[0.08427277,0.00009661476,0.0001492455,0.005345408,0.001311785,0.003140209,0.001667904,0.0006471003,0.0004854887],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001253555,"about_ca_system_score_gemma":0.0009309656,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001091054,"about_ca_topic_score_gemma":0.0009083819,"domain_scores_codex":[0.9954456,0.001323556,0.0006577695,0.0003779849,0.001682888,0.0005122357],"domain_scores_gemma":[0.784826,0.0940669,0.09608481,0.006550887,0.01201196,0.006459382],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0004080729,0.000580196,0.865093,0.0001683094,0.0001217693,0.0004600785,0.003203152,0.003898145,0.002521788,0.02642827,0.002035439,0.09508187],"study_design_scores_gemma":[0.0000777412,0.00075421,0.9486977,0.000103647,0.00007809296,0.0009340004,0.004029001,0.005398476,0.004028935,0.02667098,0.009136765,0.00009054935],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9923962,0.0007439606,0.0005480387,0.0005231797,0.00001374819,0.00001220823,0.00008703593,0.00001807022,0.005657603],"genre_scores_gemma":[0.999339,0.00010714,0.00007518505,0.00001604164,0.00002529372,0.000002751041,0.00005185718,0.000002085156,0.0003805733],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.005938639,"threshold_uncertainty_score":0.03140688,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008550649447053466,"score_gpt":0.1912387523922586,"score_spread":0.1826881029452051,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}